1. Combined morphologic and metabolic pipeline for Positron emission tomography/computed tomography based radiotherapy response evaluation in locally advanced pancreatic adenocarcinoma 
Yi Lao, John David, Arman Torosian, Veronica Placencio, Yalin Wang, Andrew Hendifar, Wensha Yang, Richard Tuli 
Physics and Imaging in Radiation Oncology 
Volume 9, Pages (January 2019)
DOI: /j.phro
Copyright © 2018 The Authors Terms and Conditions

2. Fig. 1
A: Representative tumor short and long axes on axial CT images and the corresponding 3D constructions for a 64-year-old female (P1), a 76-year-old male (P2) and a 77-year-old female pancreatic adenocarcinoma (PA) patient (P3). All 3 patients show similar values of tumor short and long axes [5,6], while their 3D tumor constructions revealed varied shape features. B: Representative PET/CT fusion images of PA patients with varied SUV distributions within tumors. Boundaries of tumors are circled in red. P4, Axial (left column), coronal (middle column), and sagittal (right column) views of a 77-year-old female patient with low SUV PA tumor. P5, a 61 years old male patient with heterogeneously distributed SUV within PA tumor. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Physics and Imaging in Radiation Oncology 2019 9, 28-34DOI: ( /j.phro )
Copyright © 2018 The Authors Terms and Conditions

3. Fig. 2
Illustration of our pipeline. Processing steps represented in numbers are: a) 3D construction; b) Surface-based registration; c) PET indices sampling; d) Anatomic parameter (detJ) calculation; e) Anatomic parameter (Radius) calculation; f) Multivariate surface vertex cloud assembling; g) Mahalanobis distance calculation on multivariate surface vertex ouds.
Physics and Imaging in Radiation Oncology 2019 9, 28-34DOI: ( /j.phro )
Copyright © 2018 The Authors Terms and Conditions

4. Fig. 3
Kaplan-Meier plots of OS for 31 patients stratified by post- versus pre-RT ratios of Global SUVmax, GTV, and the new Mdist|Fusion, using M1, the evenly dividing method (a-c) and M2, the k-means clustering method (d-f). Censored observations are marked by black circles.
Physics and Imaging in Radiation Oncology 2019 9, 28-34DOI: ( /j.phro )
Copyright © 2018 The Authors Terms and Conditions